Evidence map›Paper›PMID 36776620›Full record

ArticleThe Lancet regional health. Western Pacific2023

Multimodal learning for emergency department triage implementation: experiences from Papua New Guinea during the COVID-19 pandemic.

Rob Mitchell, Sarah Bornstein, Donna Piamnok, Wilma Sebby, Carl Kingston, Rayleen Tefatu, Mangu Kendino, Betty Josaiah, Jasper Pole, Sylvia Kuk and 8 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Triage systems in low-resource emergency care settings.Bulletin of the World Health Organization · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Rob MitchellEmergency & Trauma Centre, Alfred Health, Australia.
Sarah BornsteinJohnstaff International Development, Australia.
Donna PiamnokEmergency Department, ANGAU Memorial Hospital, Papua New Guinea.
Wilma SebbyEmergency Department, ANGAU Memorial Hospital, Papua New Guinea.
Carl KingstonEmergency Department, Port Moresby General Hospital, Papua New Guinea.
Rayleen TefatuEmergency Department, Port Moresby General Hospital, Papua New Guinea.
Mangu KendinoEmergency Department, Port Moresby General Hospital, Papua New Guinea.
Betty JosaiahEmergency Department, Port Moresby General Hospital, Papua New Guinea.
Jasper PoleEmergency Department, Port Moresby General Hospital, Papua New Guinea.
Sylvia KukEmergency Department, Port Moresby General Hospital, Papua New Guinea.
Sarah KörverAustralasian College for Emergency Medicine, Australia.
Jean-Philippe MillerJohnstaff International Development, Australia.
Travis ColeJohnstaff International Development, Australia.
Andrew ErbsCatalpa International, Australia.
Gerard O'ReillyEmergency & Trauma Centre, Alfred Health, Australia.
Peter CameronEmergency & Trauma Centre, Alfred Health, Australia.
Duncan SengiromoEmergency Department, Port Moresby General Hospital, Papua New Guinea.
Colin BanksTownsville University Hospital, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Triage implementation in resource-limited emergency departments (EDs) has traditionally relied on intensive in-person training. This study sought to evaluate the impact of a novel digital-based learning strategy focused on the Interagency Integrated Triage Tool, a three-tier triage instrument recommended by the World Health Organization. Methods: A mixed methods study utilising pre-post intervention methods was conducted in two EDs in Papua New Guinea. The primary outcome was the mean change in knowledge before and after completion of a voluntary, multimodal training program, primarily delivered through a digital learning platform accessible via smartphone. Secondary outcomes included the change in confidence to perform selected clinical tasks, and acceptability of the learning methods. Findings: Among 136 eligible ED staff, 91 (66.9%) completed the digital learning program. The mean knowledge score on the post-training exam was 87.5% (SD 10.4), a mean increase of 12.9% (95% CI 10.7-15.1%, p < 0.0001) from the pre-training exam. There were statistically significant improvements in confidence for 13 of 15 clinical tasks, including undertaking a triage assessment and identifying an unwell patient.In an evaluation survey, 100% of 30 respondents agreed or strongly agreed the online learning platform was easy to access, use and navigate, and that the digital teaching methods were appropriate for their learning needs. In qualitative feedback, respondents reported that limited internet access and a lack of dedicated training time were barriers to participation. Interpretation: The use of digital learning to support triage implementation in resource-limited EDs is feasible and effective when accompanied by in-person mentoring. Adequate internet access is an essential pre-requisite. Funding: Development of the Kumul Helt Skul learning platform was undertaken as part of the Clinical Support Program (Phase II), facilitated by Johnstaff International Development on behalf of the Australian Government Department of Foreign Affairs and Trade through the PNG-Australia Partnership. RM is supported by a National Health and Medical Research Council Postgraduate Scholarship and a Monash Graduate Excellence Scholarship, while PC is supported by a Medical Research Future Fund Practitioner Fellowship. Funders had no role in study design, results analysis or manuscript preparation.

Indexed as

Digital learningEmergency carePapua New GuineaTriage

Identifiers

PMID36776620
PMCPMC9901330

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.